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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. New Relic vs Splunk Cloud vs Sumo Logic

New Relic vs Splunk Cloud vs Sumo Logic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Splunk Cloud
Splunk Cloud
Stacks170
Followers438
Votes15
Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21

New Relic vs Splunk Cloud vs Sumo Logic: What are the differences?

Introduction

When comparing New Relic, Splunk Cloud, and Sumo Logic, it is important to understand the key differences between these popular monitoring and analytics platforms.

  1. Data Collection and Sources: New Relic primarily focuses on application performance monitoring and collects data related to code-level insights, transactions, and infrastructure metrics. Splunk Cloud, on the other hand, offers a more extensive range of data collection capabilities, including machine data, logs, events, metrics, and more, catering to a broader spectrum of use cases. Sumo Logic specializes in log management and provides real-time log aggregation and analysis capabilities for troubleshooting and monitoring purposes.

  2. Querying and Search Capabilities: Splunk Cloud is known for its powerful search capabilities, offering a robust query language and real-time search functionalities, making it suitable for complex data analysis tasks. New Relic provides pre-built dashboards and reports for quick insights into application performance, while Sumo Logic emphasizes advanced log search functionalities and analytics for log management and troubleshooting purposes.

  3. Cloud Deployment and Scalability: While New Relic and Splunk Cloud both offer cloud-based deployment options, Splunk Cloud is known for its scalability and ability to handle massive volumes of data efficiently. Sumo Logic is a cloud-native solution designed to scale seamlessly with growing data needs, making it suitable for organizations with dynamic data requirements and fluctuating workloads.

  4. Alerting and Monitoring Capabilities: New Relic offers proactive alerting based on predefined thresholds and anomaly detection, focusing on real-time performance monitoring and issue detection. Splunk Cloud provides advanced alerting capabilities with customizable alert conditions and triggers, enabling users to set up alerts based on specific events and patterns within the data. Sumo Logic offers alerting based on log patterns and queries, allowing users to define alerts based on log events and trigger actions for immediate response.

  5. Integration and Ecosystem: Splunk Cloud has a wide range of third-party integrations and a comprehensive ecosystem of apps and add-ons, making it easier to extend its functionality and integrate with existing tools and systems. New Relic also offers integrations with popular tools and services, focusing on seamless integration with the development and DevOps ecosystem. Sumo Logic provides integrations with various cloud platforms, security tools, and collaboration platforms to enhance its log management capabilities and streamline workflows.

  6. Cost and Licensing Models: New Relic and Sumo Logic typically offer subscription-based pricing models with different tiers based on features and data volume. Splunk Cloud, on the other hand, has a consumption-based pricing model, where users pay for the volume of data ingested and stored in the platform. This can result in cost variations based on the amount of data processed and stored, making it essential to consider the pricing structure when choosing between these platforms.

In Summary, the key differences between New Relic, Splunk Cloud, and Sumo Logic lie in their focus on data collection, querying capabilities, cloud deployment, alerting functionalities, integrations, and pricing models, catering to different use cases and requirements in the monitoring and analytics space.

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Advice on New Relic, Splunk Cloud, Sumo Logic

Medeti
Medeti

Jun 27, 2020

Needs adviceonAmazon EKSAmazon EKSKubernetesKubernetesAWS Elastic Load Balancing (ELB)AWS Elastic Load Balancing (ELB)

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

1.51M views1.51M
Comments
Benoit
Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

457k views457k
Comments
Attila
Attila

Founder at artkonekt

Mar 24, 2020

Decided

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

  • The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
  • The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
  • The UI of Datadog is more compact and my experience is smoother.
  • The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
  • The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

471k views471k
Comments

Detailed Comparison

New Relic
New Relic
Splunk Cloud
Splunk Cloud
Sumo Logic
Sumo Logic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

If you're looking for all the benefits of Splunk® Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

Performance Data Retention;Real-User Response Time, Throughput, & Breakdown by Layer;App Response Time, Throughput, & Breakdown by Component;App Availability Monitoring, Alerting, and Notification;Automatic Application Topology Mapping;Server Resource and Availability Monitoring;Error Detection, Alerting, & Analysis;JVM Performance Analyzer;Database Call Response Time & Throughput;Performance Data API Access;Code Level Diagnostics, Transaction Tracing, & Stack Trace Details;Slow SQL and SQL Performance Details;Real-User Breakdown by Web Page, Browser, & Geography;Track Individual Key Transactions;Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map
Splunk Cloud delivers all the features of award-winning Splunk® Enterprise, as a cloud-based service. The platform provides access to various apps and enables centralized visibility across cloud, hybrid and on-premises environments; Instant: Instant trial and instant conversion from POC to production; Secure: Completed SOC2 Type 2 Attestation*. Dedicated cloud environments for each customer; Reliable: 100% uptime SLA. All the features of Splunk Enterprise, including apps, APIs, SDKs. 10TB+/day scalability and up to 10x bursting over licensed data volumes**; Hybrid: Centralized visibility across Splunk Cloud (SaaS) and Splunk Enterprise (software);
Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications
Statistics
Stacks
22.7K
Stacks
170
Stacks
192
Followers
8.7K
Followers
438
Followers
282
Votes
1.9K
Votes
15
Votes
21
Pros & Cons
Pros
  • 414
    Easy setup
  • 344
    Really powerful
  • 245
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
Cons
  • 20
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
  • 7
    Visualizations aren't very helpful
  • 7
    Expensive
  • 5
    Hard to understand why things in your app are breaking
Pros
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Free
  • 3
    Powerful log analytics
  • 1
    Pci compliance
  • 1
    Production debugger
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Missing Monitoring
  • 1
    Occasionally unreliable log ingestion
Integrations
AppHarbor
AppHarbor
Cloudability
Cloudability
HP Cloud Compute
HP Cloud Compute
cloudControl
cloudControl
Papertrail
Papertrail
Loggly
Loggly
Ducksboard
Ducksboard
Blitz
Blitz
Pivotal Tracker
Pivotal Tracker
Red Hat OpenShift
Red Hat OpenShift
AWS CloudFormation
AWS CloudFormation
AWS CloudTrail
AWS CloudTrail
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail

What are some alternatives to New Relic, Splunk Cloud, Sumo Logic?

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

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